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作 者:姜太碧[1] Jiang Taibi(School of Economics,Southwest Minzu University,Chengdu,610041,China)
机构地区:[1]西南民族大学经济学院
出 处:《民族学刊》2018年第6期72-79,121-122,共9页Journal of Ethnology
基 金:国家社科基金重点项目"政府;企业;公众共治环境污染相互作用的机理与实证研究"(项目编号:15AZD079)阶段性成果;教育部人文社科项目"安全农产品生产的农户行为影响因素与激励机制研究"(项目编号:14YJA790014)阶段性成果
摘 要:随着万物互联时代的来临,人类资源配置将被各种人工智能"算法"(1)所取代。万物互联产生的数据将成为社会资源的重要形态,也是支撑人工智能"算法"的重要基础。数据资源的安全、所有权归属、开发利用效率以及保密等重要议题,将成为民族学、经济学、社会学和心理学等相关学科关注和研究的新热点。我国是一个统一的多民族国家,如何将丰富的民族多样化资源转化为支持万物互联资源网络协同优化配置人工智能"算法"的数据,需要从民族历史、文化、生物、信息处理技术等相关学科做深入的理论和实证研究。在万物互联时代,因资源配置方式与配置机制发生变革,经济学一般不再直接求解资源最优配置的策略集,更多是从理论和实证方面研究资源配置中人工智能"算法"的构造原理、构造条件与影响因素。万物互联时代,社会和谐秩序的构建,需要政府建立和维护万物互联网络的安全防护体系,并对资源配置中人工智能技术演变路径作规范和指引。With the advent of the era of the Internet of Everything(or IoE),human resource allocation will be replaced by various“Algorithms”of artificial intelligence.The data generated by the IoE will become an important form of social resources,and also an important basis to support the“Algorithms”of artificial intelligence.The security,ownership,development and utilization efficiency,confidentiality and other important issues of data resources will become a new focus in the research of ethnology,economics,sociology,psychology and other related disciplines.China is a multi-ethnic country with abundant resources in the aspects of nature,history,linguistics,culture,religion,social customs,biological and genetic information,etc.How to transform the rich ethnic diversity resources into the data that support the collaborative optimization and allocation of artificial intelligence“algorithms”in the era of IoE requires in-depth theoretical and empirical research from related disciplines,such as ethno-history,culture,biology and information processing technology.Facing the future era of IoE,in which a huge flow of data will be created,the information needed for resource allocation will be huge and complex.The degree of information richness might be almost close to the complete information required for rational resource allocation.At that time,according to current methods of analysis,the average human brain will no longer be competent to calculate the equilibrium solution of reasonable and effective allocation of resources.Therefore,the behaviors and decisions concerning the resource allocation of human beings will be arranged by artificial intelligence organized by various“algorithms”.In general,economists will no longer directly study the strategy sets of optimal allocation of resources,but will study instead construction principles,construction conditions and influencing factors of artificial intelligence“algorithms”in resource allocation from theoretical and empirical perspectives.With the advent of the Io
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